EP3790153A1 - Method and apparatus for charging battery - Google Patents

Method and apparatus for charging battery Download PDF

Info

Publication number
EP3790153A1
EP3790153A1 EP20175126.0A EP20175126A EP3790153A1 EP 3790153 A1 EP3790153 A1 EP 3790153A1 EP 20175126 A EP20175126 A EP 20175126A EP 3790153 A1 EP3790153 A1 EP 3790153A1
Authority
EP
European Patent Office
Prior art keywords
battery
aging
charging
model
aged
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP20175126.0A
Other languages
German (de)
English (en)
French (fr)
Inventor
Daeryong Jung
Duk Jin Oh
Jinho Kim
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Samsung Electronics Co Ltd
Samsung SDI Co Ltd
Original Assignee
Samsung Electronics Co Ltd
Samsung SDI Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Samsung Electronics Co Ltd, Samsung SDI Co Ltd filed Critical Samsung Electronics Co Ltd
Publication of EP3790153A1 publication Critical patent/EP3790153A1/en
Pending legal-status Critical Current

Links

Images

Classifications

    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/44—Methods for charging or discharging
    • H01M10/441—Methods for charging or discharging for several batteries or cells simultaneously or sequentially
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/007—Regulation of charging or discharging current or voltage
    • H02J7/00712—Regulation of charging or discharging current or voltage the cycle being controlled or terminated in response to electric parameters
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/374—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] with means for correcting the measurement for temperature or ageing
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/392—Determining battery ageing or deterioration, e.g. state of health
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/05—Accumulators with non-aqueous electrolyte
    • H01M10/052—Li-accumulators
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/4207—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells for several batteries or cells simultaneously or sequentially
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/44—Methods for charging or discharging
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/44—Methods for charging or discharging
    • H01M10/448—End of discharge regulating measures
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
    • H02J7/0048—Detection of remaining charge capacity or state of charge [SOC]
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/44—Methods for charging or discharging
    • H01M10/446—Initial charging measures
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • H01M2010/4271—Battery management systems including electronic circuits, e.g. control of current or voltage to keep battery in healthy state, cell balancing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10—Energy storage using batteries

Definitions

  • the following description relates to a method and apparatus for charging a battery.
  • a constant current-constant voltage charging (CCCV) method charges a battery with constant currents, and charges the battery at a constant voltage when a voltage of the battery reaches a preset level.
  • a varying current decay charging method charges a battery with high currents at a low state of charge (SOC), and gradually reduces the currents when the battery has a predetermined SOC by charging.
  • a multi-step charging method charges a battery with constant currents (CC) of multiple steps from high current to low current, and a pulse charging method repetitively applies pulse currents at short time intervals.
  • a method of charging a battery includes estimating an aging mode of the battery that reflects an aging factor and an aging degree of the battery based on a battery characteristic corresponding to a charging level of the battery, updating a battery model based on the aging mode, and charging the battery using the updated battery model.
  • the method may include estimating the aging mode of the battery based on aging modes of one or more reference batteries having different aging factors and/or different aging degrees.
  • the method may include estimating the aging mode of the battery by applying a weight to each of the aging modes of the selected one or more reference batteries, and determining the weight based on a similarity to the battery characteristic corresponding to the charging level of the battery.
  • the similarity may indicate a similarity of a peak characteristic shown in a graph of a battery characteristic corresponding to a charging level of the reference battery to a peak characteristic shown in a graph of the battery characteristic corresponding to the charging level of the battery.
  • the peak characteristic may include at least one characteristic of a position, an intensity, a full width at half maximum (FWHM), and a shape of a peak in the graph of the battery characteristic corresponding to the charging level.
  • FWHM full width at half maximum
  • the peak characteristic may be a characteristic of a peak with the lowest charging level, among peaks included in the graph of the battery characteristic corresponding to the charging level.
  • the aging mode may include an aging factor of the battery aged by an aging history of the battery, and a current aging degree of the battery aged by the aging factor.
  • the battery characteristic corresponding to the charging level may be expressed by a graph depicted based on a ratio between a change in quantity of electric charge and a change in voltage of the battery, and the charging level of the battery.
  • the charging level of the battery may include one of a state of charge (SOC), a voltage, and a quantity of electric charge of the battery.
  • SOC state of charge
  • the battery characteristic corresponding to the charging level may correspond to dQ/dV with respect to an SOC, wherein dQ is a change in quantity of electric charge of the battery, and dV is a change in voltage of the battery.
  • the method may include determining an aging mode previously estimated with respect to the battery to be the aging mode of the battery, in response to an aging mode reuse condition being satisfied.
  • Determining whether the aging mode reuse condition is satisfied may include one or more of determining whether a time difference, between a last point in time at which the aging mode of the battery was estimated and a current point in time, is less than or equal to a threshold time, and determining whether the usage of the battery after the last point in time is less than or equal to a threshold usage.
  • the method may include charging the battery using multi-step charging determined based on the updated battery model.
  • the battery characteristic corresponding to the charging level may be determined based on a charging profile of the battery.
  • the method may include updating the battery model to reflect the aging factor and the aging degree of the battery corresponding to the aging mode in an internal state of the battery model.
  • the battery may be a battery cell, a battery module, or a battery pack.
  • the battery model may be an electrochemical model.
  • an apparatus for charging a battery includes a memory configured to store a battery model, and a processor configured to estimate an aging mode of the battery that reflects an aging factor and an aging degree of the battery based on a battery characteristic corresponding to a charging level of the battery, update the battery model based on the aging mode, and control charging of the battery using the updated battery model.
  • a method of charging a battery includes obtaining a charging profile of a battery including lithium (Li), determining a battery characteristic corresponding to a charging level of the battery based on the charging profile, determining whether the battery is aged by Li plating based on the battery characteristic corresponding to the charging level, updating a battery model by estimating an aging mode of the battery to reflect aging of the battery, in response to a determination that the battery is aged by Li plating, and charging the battery using the updated battery model.
  • Li lithium
  • the method may include determining that the battery is aged by Li plating, in a case in which a reference battery principally aged by Li plating, among a plurality of reference batteries having different aging factors and/or different aging degrees, has a battery characteristic most similar to the battery characteristic corresponding to the charging level.
  • the method may include estimating the aging mode of the battery using an aging mode of the reference battery aged principally by Li plating, and updating the battery model based on the estimated aging mode.
  • the method may include determining a charging condition of the battery using the updated battery model, and charging the battery based on the determined charging condition.
  • the battery model may be an electrochemical model.
  • the method may include updating the electrochemical model by reflecting a decrease in Li capacity at a cathode by Li plating.
  • a method in another general aspect, includes estimating an aging mode of a target battery by comparing one or more characteristics of the target battery with corresponding characteristics of at least two reference batteries that have been aged principally by different aging factors; and charging the battery using a battery model that is determined based on the estimated aging mode.
  • the at least two reference batteries may include a first reference battery that has been aged principally by Li plating and a second reference battery that has been aged principally by a cathode capacity decrease and an anode solid electrolyte interphase (SEI) layer.
  • SEI solid electrolyte interphase
  • first, second, and the like may be used herein to describe components. Each of these terminologies is not used to define an essence, order or sequence of a corresponding component but used merely to distinguish the corresponding component from other component(s).
  • a first component may be referred to as a second component, and similarly the second component may also be referred to as the first component.
  • a third component may be “connected”, “coupled”, and “joined” between the first and second components, although the first component may be directly connected, coupled, or joined to the second component.
  • FIG. 1 illustrates an example of a battery charging system.
  • a battery charging system 100 includes a battery charging apparatus 110 and a battery 120.
  • the battery 120 corresponds to a battery cell, a battery module, or a battery pack.
  • the battery charging apparatus 110 charges the battery 120 using a battery model.
  • the battery charging apparatus 110 quickly charges the battery 120 using a multi-step charging method for minimizing charging aging by estimating an internal state of the battery based on the battery model.
  • the battery model is an electrochemical model configured to estimate state information of the battery 120 by modeling an internal physical phenomenon, such as a potential or ion concentration distribution, of the battery.
  • the internal state of the battery includes a cathode lithium (Li) ion concentration distribution, an anode Li ion concentration distribution, and/or an electrolyte Li ion concentration distribution of the battery, and an active material includes a cathode and an anode of the battery.
  • the battery 120 As it is repeatedly used, the battery 120 is aged gradually. An aging state of the battery 120 varies depending on a use history of the battery 120. Thus, the battery model is updated to reflect a state of health (SOH) reduced by the repeated use of the battery 120 and an aging mode that varies depending on the use history of the battery 120. If a battery model not reflecting an aging mode is used, an internal state of the battery model for determining charging limit conditions for quick charging is estimated inaccurately, and the aging conditions are not avoided, which causes drastic aging of the battery and a reduction in life of the battery.
  • SOH state of health
  • the aging mode reflects an aging factor of the battery 120 aged by an aging history of the battery 120, and a current aging degree of the battery 120 aged by the aging factor.
  • the aging factor includes predetermined aging factors to be reflected in the battery model, for example, a cathode capacity decrease, an anode capacity decrease, a Li ion loss, an electrode surface resistance increase, and an electrode diffusivity change.
  • a battery is aged by a combination of many aging factors.
  • the aging degree indicates an SOH.
  • FIG. 2 illustrates an example of a battery charging method.
  • FIG. 2 a battery charging method performed by a processor of a battery charging apparatus is illustrated.
  • the battery charging apparatus estimates an aging mode of a battery reflecting an aging factor and an aging degree of the battery based on a battery characteristic corresponding to a charging level of the battery.
  • the battery characteristic corresponding to the charging level of the battery is expressed as a graph based on a ratio between a change in quantity of electric charge and a change in voltage of the battery.
  • the charging level of the battery includes one of an SOC, a voltage V, and a quantity of electric charge Q of the battery.
  • the battery characteristic corresponding to the charging level corresponds to dQ/dV with respect to an SOC, wherein dQ denotes a change in quantity of electric charge, and dV denotes a change in voltage.
  • the battery characteristic corresponding to the charging level is determined based on a charging profile of the battery.
  • the battery charging apparatus estimates the aging mode of the battery based on aging modes of one or more reference batteries selected from a plurality of reference batteries having different aging factors and/or different aging degrees.
  • the aging mode of the battery is estimated by applying a weight to each of the aging modes of the selected reference batteries, and the weight is determined based on a similarity to the battery characteristic corresponding to the charging level of the battery. Detailed description thereof will be provided with reference to FIGS. 3 through 5 .
  • the battery charging apparatus updates a battery model based on the aging mode.
  • the battery charging apparatus updates the battery model to reflect the aging factor and the aging degree of the battery corresponding to the aging mode in an internal state of the battery model.
  • the battery charging apparatus charges the battery using the updated battery model.
  • the battery charging apparatus charges the battery using a multi-step charging method determined based on the updated battery model, for example, an updated electrochemical model.
  • FIGS. 3 and 4 illustrate examples of battery characteristics corresponding to charging levels of a plurality of reference batteries.
  • the aging modes of the one or more reference batteries are used to estimate the aging mode of the battery. For this, aging modes and battery characteristics corresponding to charging levels of a plurality of reference batteries are stored in advance in a database.
  • Each of the plurality of reference batteries have different aging factors and/or different current aging degrees. Thus, each of the plurality of reference batteries have battery characteristics and aging modes corresponding to different charging levels.
  • the battery charging apparatus selects one or more reference batteries having battery characteristics corresponding to a charging level similar to a battery characteristic corresponding to a charging level of a battery to be charged, from among the plurality of reference batteries.
  • a similarity is determined based on a peak characteristic shown in a graph of a battery characteristic corresponding to a charging level. The peak characteristic will be described with reference to FIGS. 3 and 4 .
  • FIG. 3 illustrates examples of graphs showing battery characteristics corresponding to charging levels of a 10°C, 1C aged cell.
  • a main aging factor is estimated to be Li plating.
  • FIG. 4 illustrates examples of graphs showing battery characteristics corresponding to charging levels of a 25°C, 1C aged cell.
  • main aging factors are estimated to be a cathode capacity decrease and an anode solid electrolyte interphase (SEI) layer.
  • SEI solid electrolyte interphase
  • a different graph is represented depending on an SOH despite the same aging temperature, and a different graph is represented depending on an aging temperature despite the same SOH.
  • different characteristics are shown clearly at peaks of a portion with the lowest SOC (that is, an initial SOC 310, 410), among the peaks included in the graph. That is, the most obvious characteristic differences are shown at the first peaks shown in the graph.
  • the peak characteristic includes at least one characteristic of a position, an intensity, a full width at half maximum (FWHM), and a shape of a peak appearing in the graph.
  • the position of the peak indicates an SOC value at which the peak occurs. For example, FIG. 3 shows that the position of the peak, that is, the SOC at which the peak occurs, is shifted as the SOH is changed. Conversely, FIG. 4 shows that the position of the peak is relatively less shifted as the SOH is changed.
  • the intensity of the peak indicates a sharpness of the peak. For example, FIG. 3 or 4 shows that the intensity of the peak relatively weakens as the SOH decreases.
  • the FWHM of the peak indicates a difference between two variable values corresponding to half of the maximum value of the peak.
  • the FWHM of the peak decreases as the peak becomes thinner and sharper.
  • the shape of the peak indicates the form of the peak.
  • the peak is in the form that sharply rises and then gently falls or, conversely, in the form that gently rises and sharply falls.
  • the battery characteristics corresponding to the charging levels shown in FIGS. 3 and 4 are represented as the graphs of dQ/dV vs. SOC, which are provided for ease of description. Examples are not limited thereto.
  • dV/dQ may be applied instead of dQ/dV of the axis y, and a voltage V or a quantity of electric charge Q may be applied instead of SOC of the axis x.
  • FIG. 5 illustrates an example of estimating an aging mode of a battery.
  • FIG. 5 an example of determining an aging mode of a target battery based on aging modes of one or more reference batteries having battery characteristics corresponding to charging levels, similar to a battery characteristic corresponding to a charging level of the target battery, is illustrated.
  • a graph 510 illustrates a battery characteristic corresponding to a charging level of the target battery
  • a graph 521 illustrates a battery characteristic corresponding to a charging level of a first reference battery
  • a graph 522 illustrates a battery characteristic corresponding to a charging level of a second reference battery.
  • a database 520 stores aging modes and battery characteristics corresponding to charging levels of a plurality of reference batteries.
  • a battery charging apparatus identifies one or more reference batteries having battery characteristics corresponding to charging levels, similar to the battery characteristic corresponding to the charging level of the target battery, in the database 520.
  • the battery charging apparatus identifies one or more reference batteries having battery characteristics corresponding to charging levels, with similarities greater than or equal to a threshold similarity, with respect to the battery characteristic corresponding to the charging level of the target battery.
  • the battery charging apparatus identifies n reference batteries having battery characteristics corresponding to charging levels, most similar to the battery characteristic corresponding to the charging level of the target battery.
  • various examples of identifying one or more reference batteries having battery characteristics corresponding to charging levels, similar to the battery characteristic corresponding to the charging level of the target battery may be applied without limitation.
  • the battery charging apparatus estimates the aging mode of the target battery by applying a weight determined based on a similarity, to an aging mode of each of the identified one or more reference batteries.
  • the similarity indicates a similarity between a peak characteristic shown in a graph of a battery characteristic corresponding to a charging level of each of the identified reference batteries and a peak characteristic shown in a graph of a battery characteristic corresponding to a charging level of the target battery.
  • the first reference battery and the second reference battery are identified among the plurality of reference batteries in the database 520.
  • the first reference battery and the second reference battery are batteries aged by various aging factors, for example, Li plating, a cathode capacity decrease, and an anode SEI layer.
  • Li plating Li plating
  • a cathode capacity decrease Li plating
  • an anode SEI layer Li plating
  • the first reference battery is a battery aged principally by Li plating
  • the second reference battery is a battery aged principally by a cathode capacity decrease and an anode SEI layer.
  • the battery charging apparatus determines a first similarity between the graph 510 of the target battery and the graph 521 of the first reference battery.
  • the first similarity is determined based on a similarity to the peak characteristic described above.
  • the battery charging apparatus determines a second similarity between the graph 510 of the target battery and the graph 522 of the second reference battery.
  • the battery charging apparatus determines a first weight to be applied to a first aging mode of the first reference battery based on the first similarity and determines a second weight to be applied to a second aging mode of the second reference battery based on the second similarity. For example, by determining a high weight for a high similarity, a greater portion of an aging mode of a reference battery with a higher similarity is reflected in the aging mode of the target battery.
  • the battery charging apparatus estimates an aging mode of a battery to be charged based on the first aging mode to which the first weight is applied and the second aging mode to which the second weight is applied, and updates a battery model based on the estimated aging mode.
  • the battery model is updated to reflect aging occurring in the battery to be charged due to Li plating, a cathode capacity decrease, and an anode SEI layer. If the first weight to be applied to the first aging mode of the first reference battery is 0.7, and the second weight to be applied to the second aging mode of the second reference battery is 0.3, aging by Li plating to be reflected in the battery model is determined by applying 0.7 to the first aging mode indicating Li plating aging occurring in the first reference battery, and applying 0.3 to the second aging mode indicating Li plating aging occurring in the second reference battery.
  • aging by the cathode capacity decrease and the anode SEI layer to be reflected in the battery model is determined by applying 0.7 to the first aging mode indicating cathode capacity decrease and anode SEI layer aging occurring in the first reference battery, and applying 0.3 to the second aging mode indicating cathode capacity decrease and anode SEI layer aging occurring in the second reference battery.
  • the aging mode of the target battery to be charged based on the aging modes of one or more reference batteries having battery characteristics corresponding to charging levels, similar to the battery characteristic corresponding to the charging level of the target battery, it is possible to reflect an aging factor, a history of aging, and a current aging state of the target battery in the battery model based on only battery characteristics corresponding to charging levels derived from a charging profile of the target battery, whereby the battery is quick charged while effectively avoiding aging conditions.
  • FIG. 6 illustrates an example of charging a battery.
  • FIG. 6 illustrates a flowchart of an example in which a battery charging apparatus charges a battery.
  • a battery charging apparatus verifies whether an aging mode reuse condition is satisfied.
  • the reuse condition includes at least one of whether a time difference, between a last point in time at which an aging mode of a battery is estimated and a current point in time, is less than or equal to a threshold time, and whether the usage of the battery after the last point in time is less than or equal to a threshold usage. That is, if the difference between the last point in time at which the aging mode is estimated and the current point in time is not large enough and/or the battery is not used much after the last point in time, the battery is not actually aged in the meantime. Thus, the previously estimated aging mode is used as is.
  • the previous aging mode is applied to a battery model, in operation 605.
  • operations 602 through 604 are omitted.
  • operation 602 is performed next.
  • the battery charging apparatus applies a charging current for charging profile analysis to the battery.
  • the battery charging apparatus estimates an aging mode of the battery by analyzing a charging profile. For example, the battery charging apparatus determines a battery characteristic corresponding to a charging level of the battery by analyzing the charging profile, and estimates an aging mode of the battery based on the determined battery characteristic corresponding to the charging level.
  • the above description may also apply hereto, and thus duplicate description will be omitted herein for conciseness.
  • the battery charging apparatus updates the battery model based on the estimated aging mode.
  • the battery charging apparatus estimates an SOC and an internal state of the battery using the updated battery model.
  • the internal state includes an anode overpotential, a cathode overpotential, an anode surface Li ion concentration, a cathode surface Li ion concentration, a cell voltage condition, a charging state, and temperature of the battery.
  • the battery charging apparatus determines a charging current and a charging limit condition.
  • the charging limit condition is a condition for dividing a process of charging the battery into a plurality of charging steps to charge the battery within the range in which aging of the battery is prevented, according to a multi-step charging method.
  • the charging limit condition is set for any one or any combination of a charging time, a voltage, a current, temperature, and an internal state of the battery.
  • the charging current is a current for charging the battery in each charging step, and is expressed as A, mA, or C-rate.
  • the battery charging apparatus sets a charging step N to "1".
  • the battery charging apparatus charges the battery with a charging current I N corresponding to a constant current.
  • the battery charging apparatus measures any one or any combination of the current, the voltage, and the temperature of the battery, and estimates the internal state of the battery based on the measured value(s) and the battery model, for example, an electrochemical model.
  • the battery charging apparatus determines whether the charging termination condition determined in operation 607 is reached. For example, the battery charging apparatus determines whether the charging limit condition is reached by the measured value(s), such as the charging time, the voltage, the current, and the temperature of the battery, and/or the estimated value(s), such as the internal state of the battery. If the charging limit condition is not reached, operation 609 is performed next. Conversely, if the charging limit condition is reached, operation 612 is performed next.
  • the battery charging apparatus increases the charging step N by "1".
  • the battery charging apparatus determines whether the charging step N exceeds a predetermined final charging step N F . If the charging step N does not exceed the final charging step N F , operation 609 is performed next. Conversely, if the charging step N exceeds the final charging step N F , the battery charging operation is terminated.
  • Charging of the battery may be terminated in response to another charging termination event.
  • the battery charging apparatus may terminate charging of the battery, if the voltage of the battery reaches a threshold voltage.
  • the threshold voltage may be in the range of 4V to 4.2V.
  • the battery charging apparatus may charge the battery with a constant voltage if the voltage of the battery reaches the threshold voltage, and terminate charging of the battery if the current of the battery reaches a termination current, for example, 0.05 C-rate.
  • FIG. 7 illustrates an example of a battery charging method.
  • FIG. 7 a battery charging method performed by a processor of a battery charging apparatus is illustrated.
  • the battery charging apparatus obtains a charging profile of a battery including Li.
  • the battery charging apparatus determines a battery characteristic corresponding to a charging level of the battery based on the charging profile.
  • the battery charging apparatus determines whether the battery is aged by Li plating, based on the battery characteristic corresponding to the charging level. If a battery characteristic corresponding to a charging level of a reference battery aged principally by Li plating, among a plurality of reference batteries having different aging factors and/or different aging degrees, is most similar to the battery characteristic corresponding to the charging level of the battery, the battery charging apparatus determines that the battery is aged by Li plating.
  • the battery charging apparatus updates a battery model to reflect aging of the battery by estimating an aging mode of the battery, in response to determination that the battery is aged by Li plating.
  • the battery charging apparatus estimates the aging mode of the battery based on an aging mode of the reference battery aged principally by Li plating, and updates the battery model based on the estimated aging mode.
  • the battery charging apparatus charges the battery using the updated model.
  • the battery charging apparatus determines a charging condition of the battery using the updated battery model, and charges the battery based on the determined charging condition.
  • FIG. 8 illustrates an example of a battery charging apparatus.
  • a battery charging apparatus 800 includes a memory 810 and a processor 820.
  • the memory 810 and the processor 820 communicate with each other through a bus 830.
  • the battery charging apparatus 800 is provided in various electronic devices including a battery, such as for example, a vehicle, a terminal and a walking assistance device.
  • the memory 810 stores computer-readable instructions. When the instructions stored in the memory 810 are executed by the processor 820, the processor 820 performs the operations described above.
  • the memory 810 is a volatile memory or a non-volatile memory.
  • the processor 820 is a device configured to execute the instructions or programs, or control the battery charging apparatus 800.
  • the processor 820 estimates an aging mode of the battery reflecting an aging factor and an aging degree of the battery based on a battery characteristic corresponding to a charging level of the battery, updates a battery model based on the aging mode, and controls charging of the battery using the updated battery model.
  • the battery charging apparatus 800 processes the operations described above.
  • FIG. 9 illustrates an example of a vehicle.
  • a vehicle 900 includes a battery pack 910.
  • the vehicle 900 is a vehicle using the battery pack 910 as power.
  • the vehicle 900 is, for example, an electrical vehicle or a hybrid vehicle.
  • the battery pack 910 includes a battery management system (BMS) and battery cells (or battery modules).
  • BMS battery management system
  • the BMS monitors whether an abnormality occurs in the battery pack 910, and prevents over-charging or over-discharging of the battery pack 910. Further, the BMS performs thermal control with respect to the battery pack 910 if the temperature of the battery pack 910 exceeds a first temperature, for example, 40°C, or is less than a second temperature, for example, -10°C. In addition, the BMS equalizes charging states between the battery cells in the battery pack 910 by performing cell balancing.
  • the vehicle 900 includes a battery charging apparatus.
  • the battery charging apparatus updates a battery model based on an aging mode reflecting an aging factor and an aging degree of the battery pack 910 (or the battery cells in the battery pack 910), and charges the battery pack 910 (or the battery cells in the battery pack 910) using the updated battery model.
  • FIG. 10 illustrates an example of a mobile device.
  • a mobile device 1000 includes a battery pack 1010.
  • the mobile device 1000 is a device using the battery pack 1010 as power.
  • the mobile device 1000 is a portable terminal, for example, a smart phone.
  • the battery pack 1010 includes a BMS and battery cells (or battery modules).
  • the mobile device 1000 includes a battery charging apparatus.
  • the battery charging apparatus updates a battery model based on an aging mode reflecting an aging factor and an aging degree of the battery pack 1010 (or the battery cells in the battery pack 1010), and charges the battery pack 1010 (or the battery cells in the battery pack 1010) using the updated battery model.
  • FIG. 11 illustrates an example of a terminal.
  • a terminal 1110 includes the battery charging apparatus 110 and the battery 120.
  • the terminal 1110 is a mobile terminal, such as a smart phone, a notebook, a tablet PC or a wearable device. However, examples are not limited thereto.
  • the battery charging apparatus 110 is provided in the form of an integrated circuit (IC). However, examples are not limited to such a configuration.
  • the battery charging apparatus 110 receives power in a wired or wireless manner from a power source 1120, and charges the battery 120 using the power.
  • the battery charging apparatus 110 updates a battery model based on an aging mode reflecting an aging factor and an aging degree of the battery 120, and charges the battery 120 using the updated battery model.
  • the battery charging apparatuses 110 and 800, and other apparatuses, units, modules, devices, and other components described herein with respect to FIGS. 1-11 are implemented by hardware components.
  • hardware components that may be used to perform the operations described in this application where appropriate include controllers, sensors, generators, drivers, memories, comparators, arithmetic logic units, adders, subtractors, multipliers, dividers, integrators, and any other electronic components configured to perform the operations described in this application.
  • one or more of the hardware components that perform the operations described in this application are implemented by computing hardware, for example, by one or more processors or computers.
  • a processor or computer may be implemented by one or more processing elements, such as an array of logic gates, a controller and an arithmetic logic unit, a digital signal processor, a microcomputer, a programmable logic controller, a field-programmable gate array, a programmable logic array, a microprocessor, or any other device or combination of devices that is configured to respond to and execute instructions in a defined manner to achieve a desired result.
  • a processor or computer includes, or is connected to, one or more memories storing instructions or software that are executed by the processor or computer.
  • Hardware components implemented by a processor or computer may execute instructions or software, such as an operating system (OS) and one or more software applications that run on the OS, to perform the operations described in this application.
  • OS operating system
  • the hardware components may also access, manipulate, process, create, and store data in response to execution of the instructions or software.
  • processor or “computer” may be used in the description of the examples described in this application, but in other examples multiple processors or computers may be used, or a processor or computer may include multiple processing elements, or multiple types of processing elements, or both.
  • a single hardware component or two or more hardware components may be implemented by a single processor, or two or more processors, or a processor and a controller.
  • One or more hardware components may be implemented by one or more processors, or a processor and a controller, and one or more other hardware components may be implemented by one or more other processors, or another processor and another controller.
  • One or more processors may implement a single hardware component, or two or more hardware components.
  • a hardware component may have any one or more of different processing configurations, examples of which include a single processor, independent processors, parallel processors, single-instruction single-data (SISD) multiprocessing, single-instruction multiple-data (SIMD) multiprocessing, multiple-instruction single-data (MISD) multiprocessing, and multiple-instruction multiple-data (MIMD) multiprocessing.
  • SISD single-instruction single-data
  • SIMD single-instruction multiple-data
  • MIMD multiple-instruction multiple-data
  • FIGS. 1-11 that perform the operations described in this application are performed by computing hardware, for example, by one or more processors or computers, implemented as described above executing instructions or software to perform the operations described in this application that are performed by the methods.
  • a single operation or two or more operations may be performed by a single processor, or two or more processors, or a processor and a controller.
  • One or more operations may be performed by one or more processors, or a processor and a controller, and one or more other operations may be performed by one or more other processors, or another processor and another controller.
  • One or more processors, or a processor and a controller may perform a single operation, or two or more operations.
  • Instructions or software to control a processor or computer to implement the hardware components and perform the methods as described above are written as computer programs, code segments, instructions or any combination thereof, for individually or collectively instructing or configuring the processor or computer to operate as a machine or special-purpose computer to perform the operations performed by the hardware components and the methods as described above.
  • the instructions or software include machine code that is directly executed by the processor or computer, such as machine code produced by a compiler.
  • the instructions or software include higher-level code that is executed by the processor or computer using an interpreter. Programmers of ordinary skill in the art can readily write the instructions or software based on the block diagrams and the flow charts illustrated in the drawings and the corresponding descriptions in the specification, which disclose algorithms for performing the operations performed by the hardware components and the methods as described above.
  • Non-transitory computer-readable storage medium examples include read-only memory (ROM), random-access programmable read only memory (PROM), electrically erasable programmable read-only memory (EEPROM), random-access memory (RAM), dynamic random access memory (DRAM), static random access memory (SRAM), flash memory, non-volatile memory, CD-ROMs, CD-Rs, CD+Rs, CD-RWs, CD+RWs, DVD-ROMs, DVD-Rs, DVD+Rs, DVD-RWs, DVD+RWs, DVD-RAMs, BD-ROMs, BD-Rs, BD-R LTHs, BD-REs, blue-ray or optical disk storage, hard disk drive (HDD), solid state drive (SSD), flash memory,
  • HDD hard disk drive
  • SSD solid state drive

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Manufacturing & Machinery (AREA)
  • Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Electrochemistry (AREA)
  • General Chemical & Material Sciences (AREA)
  • Power Engineering (AREA)
  • Secondary Cells (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
EP20175126.0A 2019-09-04 2020-05-18 Method and apparatus for charging battery Pending EP3790153A1 (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1020190109630A KR20210028476A (ko) 2019-09-04 2019-09-04 배터리 충전 장치 및 방법

Publications (1)

Publication Number Publication Date
EP3790153A1 true EP3790153A1 (en) 2021-03-10

Family

ID=70740464

Family Applications (1)

Application Number Title Priority Date Filing Date
EP20175126.0A Pending EP3790153A1 (en) 2019-09-04 2020-05-18 Method and apparatus for charging battery

Country Status (5)

Country Link
US (1) US20210066945A1 (ko)
EP (1) EP3790153A1 (ko)
JP (1) JP2021040476A (ko)
KR (1) KR20210028476A (ko)
CN (1) CN112448055A (ko)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2592774B (en) * 2018-10-19 2023-01-11 Mitsubishi Heavy Ind Ltd Secondary battery management system, secondary battery management method and secondary battery management program for said secondary battery management system

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11397215B2 (en) 2010-05-21 2022-07-26 Qnovo Inc. Battery adaptive charging using battery physical phenomena
US11237216B1 (en) 2017-08-15 2022-02-01 Qnovo Inc. Method of detecting metal plating in intercalation cells
US11360147B2 (en) * 2020-03-03 2022-06-14 Karma Automotive Llc Method of determining the state of charge of a battery used in an electric vehicle
KR20220169197A (ko) * 2021-06-18 2022-12-27 삼성전자주식회사 충전 제어 방법 및 장치
JP7506265B2 (ja) * 2021-09-08 2024-06-25 寧徳時代新能源科技股▲分▼有限公司 動力電池充電の方法と電池管理システム
JP2023046847A (ja) * 2021-09-24 2023-04-05 株式会社Ｇｓユアサ 情報処理装置及び情報処理方法

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150268309A1 (en) * 2014-03-20 2015-09-24 Hyundai Mobis Co., Ltd. Apparatus and method for estimating deterioration of battery pack
US20170070061A1 (en) * 2015-09-09 2017-03-09 Texas Instruments Incorporated Methods and Apparatus for Optimal Fast Battery Charging
US20170285111A1 (en) * 2016-04-01 2017-10-05 Demand Energy Networks, Inc. Control systems and methods for economical optimization of an electrical system including battery degradation
US20170369048A1 (en) * 2014-12-22 2017-12-28 Renault S.A.S. Method for energy management of a rechargeable traction battery of a hybrid vehicle
EP3273523A1 (en) * 2015-08-21 2018-01-24 LG Chem, Ltd. Apparatus and method for estimating degree of aging of secondary battery
WO2019053131A1 (en) * 2017-09-14 2019-03-21 Abb Schweiz Ag METHOD AND SYSTEM FOR CONTROLLING A RECHARGEABLE BATTERY
EP3506452A1 (en) * 2017-12-29 2019-07-03 Samsung Electronics Co., Ltd. Battery charging method and apparatus

Family Cites Families (122)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030184307A1 (en) * 2002-02-19 2003-10-02 Kozlowski James D. Model-based predictive diagnostic tool for primary and secondary batteries
KR100880388B1 (ko) * 2005-04-20 2009-01-23 주식회사 엘지화학 전지모듈용 하우징 부재
JP2008141817A (ja) * 2006-11-30 2008-06-19 Asuka Electron Kk 無接点伝送装置
US8624560B2 (en) * 2008-04-11 2014-01-07 Apple Inc. Controlling battery charging based on current, voltage and temperature
US8972213B2 (en) * 2008-06-27 2015-03-03 GM Global Technology Operations LLC Pattern recognition approach to battery diagnosis and prognosis
US8117857B2 (en) * 2009-02-20 2012-02-21 Tesla Motors, Inc. Intelligent temperature control system for extending battery pack life
WO2011014667A2 (en) * 2009-07-29 2011-02-03 The Regents Of The University Of Michigan System for scheduling battery charge and discharge
US9366732B2 (en) * 2009-09-04 2016-06-14 Board Of Regents, The University Of Texas System Estimation of state-of-health in batteries
JP5493657B2 (ja) * 2009-09-30 2014-05-14 新神戸電機株式会社 蓄電池装置並びに蓄電池の電池状態評価装置及び方法
DE102009045526A1 (de) * 2009-10-09 2011-04-14 SB LiMotive Company Ltd., Suwon Verfahren zur Initialisierung und des Betriebs eines Batteriemanagementsystems
JP5586219B2 (ja) * 2009-12-25 2014-09-10 株式会社東芝 診断装置、電池パック及び電池価値指標の製造方法
DE102010030491A1 (de) * 2010-06-24 2011-12-29 Sb Limotive Company Ltd. Verfahren zur Feststellung wenigstens eines Zustandes einer Mehrzahl von Batteriezellen, Computerprogramm, Batterie und Kraftfahrzeug
CN102959418B (zh) * 2010-06-24 2016-04-27 松下知识产权经营株式会社 获取电池的劣化度的方法和***
US8749201B2 (en) * 2010-10-05 2014-06-10 GM Global Technology Operations LLC Battery pack capacity learn algorithm
RU2581844C2 (ru) * 2010-10-22 2016-04-20 Нуклеас Сайнтифик, Инк. Устройство и способ быстрой зарядки аккумуляторных батарей
US20130278221A1 (en) * 2010-12-28 2013-10-24 Reizo Maeda Method of detecting battery degradation level
JP5315369B2 (ja) * 2011-03-01 2013-10-16 株式会社日立製作所 リチウム二次電池の異常充電状態検出装置及び検査方法
WO2012148070A1 (ko) * 2011-04-25 2012-11-01 주식회사 엘지화학 배터리 용량 퇴화 추정 장치 및 방법
US20140232411A1 (en) * 2011-09-30 2014-08-21 KPIT Cummins Infosytems Ltd System and method for battery monitoring
US9625532B2 (en) * 2011-10-10 2017-04-18 Battelle Energy Alliance, Llc Method, system, and computer-readable medium for determining performance characteristics of an object undergoing one or more arbitrary aging conditions
JP5852399B2 (ja) * 2011-10-17 2016-02-03 インターナショナル・ビジネス・マシーンズ・コーポレーションＩｎｔｅｒｎａｔｉｏｎａｌ Ｂｕｓｉｎｅｓｓ Ｍａｃｈｉｎｅｓ Ｃｏｒｐｏｒａｔｉｏｎ バッテリの状態予測システム、方法及びプログラム
EP2607910B1 (en) * 2011-12-23 2016-03-23 Samsung SDI Co., Ltd. A device and method for estimating life of a secondary battery
US8618775B2 (en) * 2012-01-05 2013-12-31 Tesla Motors, Inc. Detection of over-current shorts in a battery pack using pattern recognition
WO2013140781A1 (ja) * 2012-03-19 2013-09-26 パナソニック株式会社 蓄電池監視方法、蓄電池監視システム、および、蓄電池システム
US9182451B2 (en) * 2012-07-30 2015-11-10 Robert Bosch Gmbh System and method for posteriori adaptation of a state of charge model in a battery
US9236748B2 (en) * 2012-08-30 2016-01-12 Texas Instruments Incorporated Method and apparatus of charging the battery with globally minimized integral degradation possible for predefined charging duration
KR101394859B1 (ko) * 2012-09-05 2014-05-13 현대자동차주식회사 자동차의 ｂｍｓ 커넥터
WO2014083813A1 (ja) * 2012-11-30 2014-06-05 株式会社Ｇｓユアサ 蓄電素子の性能低下検知装置、性能低下検知方法及び蓄電システム
AT512003A3 (de) * 2013-01-23 2014-05-15 Avl List Gmbh Verfahren zur Ermittlung eines regelungstechnischen Beobachters für den SoC
US20140278169A1 (en) * 2013-03-12 2014-09-18 Samsung Sdi Co., Ltd. Apparatus for predicting state of health of battery pack by using discrete wavelet transform
US9461490B2 (en) * 2013-03-13 2016-10-04 GM Global Technology Operations LLC Method and apparatus for evaluating a rechargeable battery
FR3009093B1 (fr) * 2013-07-29 2017-01-13 Renault Sa Estimation de l'etat de vieillissement d'une batterie electrique
US10393813B2 (en) * 2013-08-27 2019-08-27 The Regents Of The University Of Michigan On-board state of health monitoring of batteries using incremental capacity analysis
JP6098496B2 (ja) * 2013-12-06 2017-03-22 トヨタ自動車株式会社 蓄電システム
US20150219726A1 (en) * 2014-02-03 2015-08-06 GM Global Technology Operations LLC Systems and methods for battery state estimation
CN106030325B (zh) * 2014-02-25 2018-12-07 三菱电机株式会社 二次电池的soc推定装置
US9535132B2 (en) * 2014-03-20 2017-01-03 GM Global Technology Operations LLC Systems and methods for determining battery system performance degradation
KR102205293B1 (ko) * 2014-04-18 2021-01-20 삼성전자주식회사 배터리 수명의 추정에서 발생하는 오차를 보정하는 방법 및 장치
EP2963434B1 (en) * 2014-06-30 2021-08-11 Foundation Of Soongsil University-Industry Cooperation Battery state estimation method and system using dual extended kalman filter, and recording medium for performing the method
KR102241683B1 (ko) * 2014-07-30 2021-04-19 삼성전자주식회사 배터리의 상태를 추정하는 방법 및 장치
KR102399720B1 (ko) * 2014-08-06 2022-05-19 삼성전자주식회사 패턴 정보에 기초하여 사용자 특성에 따른 배터리 수명을 추정하는 장치 및 방법
EP2990818B1 (en) * 2014-09-01 2019-11-27 Yokogawa Electric Corporation Secondary battery capacity measurement system and secondary battery capacity measurement method
KR101619634B1 (ko) * 2014-11-06 2016-05-10 현대자동차주식회사 배터리 모델 파라미터를 이용한 배터리 성능상태 추정 시스템 및 그 방법
TWI523297B (zh) * 2014-11-07 2016-02-21 財團法人工業技術研究院 基於老化調適電池運作區間的電池調控方法
US10459034B2 (en) * 2014-12-26 2019-10-29 Samsung Electronics Co., Ltd. Method and apparatus for estimating state of health (SOH) of battery
US10401433B2 (en) * 2015-01-21 2019-09-03 Samsung Electronics Co., Ltd. Method and apparatus for estimating battery life
US10338153B2 (en) * 2015-03-03 2019-07-02 Samsung Electronics Co., Ltd. Method and apparatus for automatically estimating remaining useful life (RUL) of battery in real time
JP5909014B1 (ja) * 2015-06-08 2016-04-26 オリジン電気株式会社 接合部材の製造方法及び接合部材製造装置
KR102424528B1 (ko) * 2015-06-11 2022-07-25 삼성전자주식회사 배터리의 상태를 추정하는 장치 및 방법
KR102527326B1 (ko) * 2015-08-20 2023-04-27 삼성전자주식회사 배터리 충전 상태(SoC)를 예측하는 배터리 시스템 및 방법
US10422835B2 (en) * 2015-10-27 2019-09-24 Nec Corporation Innovative framework combining cycling and calendar aging models
KR102574257B1 (ko) * 2015-10-30 2023-09-01 삼성전자주식회사 Soh 추정 장치 및 방법과, soh 추정 모델 생성 장치 및 방법
US10224579B2 (en) * 2015-12-31 2019-03-05 Robert Bosch Gmbh Evaluating capacity fade in dual insertion batteries using potential and temperature measurements
KR102553031B1 (ko) * 2016-01-14 2023-07-06 삼성전자주식회사 배터리의 상태 추정 장치 및 방법
KR102574084B1 (ko) * 2016-01-14 2023-09-04 삼성전자주식회사 배터리 관리 장치 및 방법
US10800284B2 (en) * 2016-01-20 2020-10-13 Ford Global Technologies, Llc Charging strategies to mitigate lithium plating in electrified vehicle battery
US10263447B2 (en) * 2016-01-29 2019-04-16 Robert Bosch Gmbh Secondary battery management system
US11415630B2 (en) * 2016-02-29 2022-08-16 University Of Hawaii Methods and apparatus for updating a fuel gauge and estimating state of health of an energy storage cell
US9960625B2 (en) * 2016-03-31 2018-05-01 Robert Bosch Gmbh Battery management system with multiple observers
KR101846690B1 (ko) * 2016-08-01 2018-05-18 현대자동차주식회사 Ｗｌｓ 기반 ｓｏｈ 추정 시스템 및 방법
US11462774B2 (en) * 2016-10-03 2022-10-04 Cps Technology Holdings Llc State of charge dependent plating estimation and prevention
KR20180037760A (ko) * 2016-10-05 2018-04-13 삼성전자주식회사 배터리 상태 추정 장치 및 방법
US10353008B2 (en) * 2016-10-06 2019-07-16 Mitsubishi Electric Research Laboratories, Inc. Hybrid battery state sensor
KR101866073B1 (ko) * 2016-10-19 2018-06-08 현대자동차주식회사 배터리 soh 추정 방법
GB2556076B (en) * 2016-11-17 2022-02-23 Bboxx Ltd Method
KR20180056238A (ko) * 2016-11-18 2018-05-28 삼성전자주식회사 배터리 충전 방법, 배터리 충전 정보 생성 방법 및 배터리 충전 장치
KR102634815B1 (ko) * 2016-11-22 2024-02-07 삼성전자주식회사 오차 보정에 기초한 배터리 상태 추정 방법 및 장치
FR3061307B1 (fr) * 2016-12-22 2021-05-07 Electricite De France Caracterisation perfectionnee d'un dispositif electrochimique en operation pour un pronostic de fonctionnement futur du dispositif
US10566811B2 (en) * 2017-01-11 2020-02-18 Samsung Electronics Co., Ltd. Method and apparatus estimating and controlling battery state
KR20180085165A (ko) * 2017-01-18 2018-07-26 삼성전자주식회사 배터리 관리 방법 및 장치
US10931128B2 (en) * 2017-04-28 2021-02-23 Samsung Electronics Co., Ltd. Method and apparatus to predict capacity fade rate of battery
US10312699B2 (en) * 2017-07-31 2019-06-04 Robert Bosch Gmbh Method and system for estimating battery open cell voltage, state of charge, and state of health during operation of the battery
US10539621B2 (en) * 2017-08-02 2020-01-21 Total Solar International Method and apparatus for identifying a battery model
KR20190032780A (ko) * 2017-09-20 2019-03-28 삼성전자주식회사 배터리 상태 추정 장치 및 방법
KR102179684B1 (ko) * 2017-09-29 2020-11-17 주식회사 엘지화학 배터리 팩의 soh를 산출하는 장치 및 방법
KR102554151B1 (ko) * 2017-10-24 2023-07-12 삼성전자주식회사 배터리 충전 방법 및 장치
US20190170826A1 (en) * 2017-12-06 2019-06-06 Cadex Electronics Inc. Battery state-of-health determination upon charging
KR102516362B1 (ko) * 2017-12-19 2023-03-31 삼성전자주식회사 배터리 충전 방법 및 장치
KR102634816B1 (ko) * 2017-12-21 2024-02-07 삼성전자주식회사 배터리의 전하 균형을 탐지하는 배터리 모니터링 장치 및 방법
KR102255485B1 (ko) * 2018-01-26 2021-05-24 주식회사 엘지에너지솔루션 Soh 분석 장치 및 방법
US11355824B2 (en) * 2018-05-11 2022-06-07 The Regents Of The University Of Michigan Detection of an internal short circuit in a battery
KR102561574B1 (ko) * 2018-06-11 2023-07-31 삼성전자주식회사 충전 중 배터리의 전압 변화량에 기반하여 배터리의 상태에 대한 정보를 획득하기 위한 방법 및 이를 지원하는 전자 장치
US11251472B2 (en) * 2018-06-27 2022-02-15 Robert Bosch Gmbh System and method for operating batteries based on electrode crystal structure change
AT521643B1 (de) * 2018-08-31 2020-09-15 Avl List Gmbh Verfahren und Batteriemanagementsystem zum Ermitteln eines Gesundheitszustandes einer Sekundärbatterie
KR102655398B1 (ko) * 2018-10-01 2024-04-05 삼성전자주식회사 전기화학 모델에 기반하여 최적화된 충전 방법 및 장치
US11283103B2 (en) * 2018-10-26 2022-03-22 Hyundai Motor Company System and method for rapid charging lithium ion battery
US11243258B2 (en) * 2018-11-13 2022-02-08 Robert Bosch Gmbh Method for approximating algorithms for fast charging li-ion batteries based on electrochemical battery models
WO2020130422A1 (en) * 2018-12-21 2020-06-25 Samsung Electronics Co., Ltd. Method and system for predicting onset of capacity fading in a battery
US20200210541A1 (en) * 2018-12-31 2020-07-02 Chongqing Jinkang New Energy Vehicle, Ltd. Detection of Lithium Plating Potential with Multi-Particle Reduced-Order Model
US10921383B2 (en) * 2019-03-07 2021-02-16 Mitsubishi Electric Research Laboratories, Inc. Battery diagnostic system for estimating capacity degradation of batteries
KR20200117794A (ko) * 2019-04-05 2020-10-14 주식회사 엘지화학 배터리 관리 장치 및 방법
CN110988702B (zh) * 2019-04-25 2021-04-02 宁德时代新能源科技股份有限公司 电池可用容量确定方法、装置、管理***以及存储介质
US11300623B2 (en) * 2019-05-08 2022-04-12 Tata Consultancy Services Limited Method and system for remaining useful life prediction of lithium based batteries
US10829004B1 (en) * 2019-05-15 2020-11-10 Sf Motors, Inc. Continuous derating fast charging method based on multiple particle reduced order model
US10908219B2 (en) * 2019-05-20 2021-02-02 Robert Bosch Gmbh Battery management system with mixed electrode
US20220229121A1 (en) * 2019-06-14 2022-07-21 Cummins Inc. Methods and devices for determining battery state of health using incremental capacity analysis and support vector regression
KR102638936B1 (ko) * 2019-08-27 2024-02-27 삼성전자 주식회사 배터리의 상태 파라미터를 결정하는 방법 및 장치
KR20210041511A (ko) * 2019-10-07 2021-04-15 삼성에스디아이 주식회사 배터리의 건강 상태를 추정하는 방법 및 장치
KR20210047682A (ko) * 2019-10-22 2021-04-30 삼성전자주식회사 배터리 상태 추정 방법 및 장치
US20210242698A1 (en) * 2020-02-04 2021-08-05 Samsung Electronics Co., Ltd. Method and electronic device for real time adaptive charging of battery
KR20210099504A (ko) * 2020-02-04 2021-08-12 삼성전자주식회사 배터리 시스템에서 배터리의 작동 상태를 검출하는 방법 및 시스템
WO2021157943A1 (en) * 2020-02-07 2021-08-12 Samsung Electronics Co., Ltd. Method and system for improving state of health of rechargeable batteries
KR20220142467A (ko) * 2020-02-10 2022-10-21 타이탄 어드밴스드 에너지 솔루션스 아이엔씨. 배터리 테스트 시스템 및 방법
US11703548B2 (en) * 2020-04-03 2023-07-18 Cummins Inc. Methods and systems for accelerated determining of state of health using incremental capacity analysis
FR3112394A1 (fr) * 2020-07-09 2022-01-14 Commissariat A L'energie Atomique Et Aux Energies Alternatives Procédé de détermination d’une fonction de vieillissement d’un accumulateur
US11894708B2 (en) * 2020-08-06 2024-02-06 Apple Inc. Method and apparatus for charging a battery based on a wear factor calculated from usage statistics and usage parameters of the battery
KR20220029109A (ko) * 2020-09-01 2022-03-08 삼성전자주식회사 배터리 상태 추정 방법 및 장치
US11959968B2 (en) * 2020-09-10 2024-04-16 Samsung Electronics Co., Ltd. Method and system with battery management
KR20220048753A (ko) * 2020-10-13 2022-04-20 삼성전자주식회사 배터리 충전 장치 및 방법
EP3995346A1 (en) * 2020-11-10 2022-05-11 Tata Consultancy Services Limited Method and system for optimizing operation of battery pack of an electric vehicle
DE102020215864A1 (de) * 2020-12-15 2022-06-15 Robert Bosch Gesellschaft mit beschränkter Haftung Verfahren und Vorrichtung zur maschinenindividuellen Verbesserung der Lebensdauer einer Gerätebatterie in einer batteriebetriebenen Maschine
KR20220089969A (ko) * 2020-12-22 2022-06-29 삼성전자주식회사 배터리의 단락 검출 장치 및 방법
US11656291B2 (en) * 2021-02-08 2023-05-23 Hong Kong Applied Science and Technology Research Institute Company Limited Fast screening method for used batteries using constant-current impulse ratio (CCIR) calibration
US20220252670A1 (en) * 2021-02-08 2022-08-11 Hong Kong Applied Science and Technology Research Institute Company Limited Fast Screening of Rechargeable Batteries Using Sectional Constant-Current Impulse Ratio (SCCIR) Calibration with Constant-Current Followed by Constant-Voltage Charging
KR102569876B1 (ko) * 2021-02-24 2023-08-23 주식회사 피엠그로우 재사용 배터리의 용도에 따른 평가 방법 및 장치
KR20230003848A (ko) * 2021-06-30 2023-01-06 현대자동차주식회사 배터리의 상태 추정 장치 및 방법
KR102414819B1 (ko) * 2021-11-01 2022-06-30 주식회사 에이젠글로벌 배터리 잔존 가치를 기반으로 한 금융 서비스 방법 및 이러한 방법을 수행하는 장치
KR102412697B1 (ko) * 2021-11-01 2022-06-24 주식회사 에이젠글로벌 배터리 수명 예측 방법 및 이러한 방법을 수행하는 장치
KR102551709B1 (ko) * 2021-11-15 2023-07-07 주식회사 에이치이아이 배터리 soh 추정시스템, 이를 위한 파라미터 추출시스템 및 방법
JP2023125246A (ja) * 2022-02-28 2023-09-07 株式会社Subaru バッテリ劣化度予測装置
EP4246162A1 (en) * 2022-03-18 2023-09-20 ABB Schweiz AG Method of estimation of battery degradation
US20240110984A1 (en) * 2022-09-29 2024-04-04 Enevate Corporation Advanced fusion of physics-based and machine learning based state-of-charge and state-of-health models in battery management systems

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150268309A1 (en) * 2014-03-20 2015-09-24 Hyundai Mobis Co., Ltd. Apparatus and method for estimating deterioration of battery pack
US20170369048A1 (en) * 2014-12-22 2017-12-28 Renault S.A.S. Method for energy management of a rechargeable traction battery of a hybrid vehicle
EP3273523A1 (en) * 2015-08-21 2018-01-24 LG Chem, Ltd. Apparatus and method for estimating degree of aging of secondary battery
US20170070061A1 (en) * 2015-09-09 2017-03-09 Texas Instruments Incorporated Methods and Apparatus for Optimal Fast Battery Charging
US20170285111A1 (en) * 2016-04-01 2017-10-05 Demand Energy Networks, Inc. Control systems and methods for economical optimization of an electrical system including battery degradation
WO2019053131A1 (en) * 2017-09-14 2019-03-21 Abb Schweiz Ag METHOD AND SYSTEM FOR CONTROLLING A RECHARGEABLE BATTERY
EP3506452A1 (en) * 2017-12-29 2019-07-03 Samsung Electronics Co., Ltd. Battery charging method and apparatus

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2592774B (en) * 2018-10-19 2023-01-11 Mitsubishi Heavy Ind Ltd Secondary battery management system, secondary battery management method and secondary battery management program for said secondary battery management system

Also Published As

Publication number Publication date
US20210066945A1 (en) 2021-03-04
CN112448055A (zh) 2021-03-05
JP2021040476A (ja) 2021-03-11
KR20210028476A (ko) 2021-03-12

Similar Documents

Publication Publication Date Title
US11088558B2 (en) Method and apparatus for charging battery
EP3790153A1 (en) Method and apparatus for charging battery
US11637330B2 (en) Battery charging method and apparatus
US11929468B2 (en) Method and apparatus for charging battery
US11368034B2 (en) Method and apparatus with battery charging
US10566818B2 (en) Battery charging method, battery charging information generating method, and battery charging apparatus
US11982714B2 (en) Method and apparatus with battery state estimation
EP3961232B1 (en) Method and apparatus for battery state estimation
US11552494B2 (en) Method and apparatus controlling charging of battery based on diffusion characteristics of material included in the battery
US11489358B2 (en) Battery charging method and battery charging apparatus using variant pulse current
EP3985829B1 (en) Method and apparatus for charging battery
US11549989B2 (en) Charging method and apparatus optimized based on electrochemical model
EP4019993B1 (en) Method and apparatus for battery short circuit detection
EP3641096B1 (en) Method and apparatus for charging battery
US20230160965A1 (en) Electronic device for estimating battery state and operating method thereof

Legal Events

Date Code Title Description
PUAI Public reference made under article 153(3) epc to a published international application that has entered the european phase

Free format text: ORIGINAL CODE: 0009012

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: THE APPLICATION HAS BEEN PUBLISHED

AK Designated contracting states

Kind code of ref document: A1

Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

AX Request for extension of the european patent

Extension state: BA ME

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: REQUEST FOR EXAMINATION WAS MADE

17P Request for examination filed

Effective date: 20210730

RBV Designated contracting states (corrected)

Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

P01 Opt-out of the competence of the unified patent court (upc) registered

Effective date: 20230530